Selective Regenerated Particle Swarm Optimization for Multimodal Function
نویسندگان
چکیده
This article proposes an improved particle swarm optimization (PSO) with suggested parameter setting “Selective Particle Regeneration”. To evaluate its reliability and efficiency, this approach is applied to multimodal function optimizing tasks. 12 benchmark functions were tested, and results are compared with those of PSO and GA-PSO. It shows the proposed method is both robust and suitable for multimodal function optimization. Key-Words: Particle swarm optimization, Selective Particle Regeneration, Multimodal functions
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